Delecje wewnątrz genów wykryte w sekwencjonowaniu całego genomu 1054 przypadków zgonów z samobójstwa
Intragenic deletions from whole genome sequencing of 1054 suicide deaths
W skrócie
[Preprint - wstępne wyniki] Badacze przeanalizowali DNA 1054 osób, które popełniły samobójstwo, szukając rzadkich uszkodzeń genów, które mogą zwiększać ryzyko. Znaleźli 11 delecji (brakujących fragmentów DNA) znacznie częściej występujących u osób, które popełniły samobójstwo niż w grupie kontrolnej - te geny są związane z depresją, epilepsją, zaburzeniami intelektualnymi i funkcjami mózgu. Wyniki mogą pomóc naukowcom lepiej zrozumieć genetyczne przyczyny samobójstw, choć wymagają potwierdzenia w kolejnych badaniach.
Oryginalny abstract (angielski)
Abstract Suicide is an urgent public health crisis that claimed over 49,000 lives in the US in 2023. While genome-wide association studies of suicide are beginning to reveal genetic risk attributable to common variants with small effects on liability, these results explain only a fraction of the substantial proportion of risk due to genetics known to contribute to suicide mortality. As with other complex health conditions, some of this unexplained genetic risk is likely due to rarer variants with larger effects on liability. Using whole genome sequencing data from 1,054 population-ascertained suicide deaths from the Utah Suicide Mortality Research Study (USMRS) jointly processed with 1,230 controls, we investigated intragenic deletions as a class of genomic variation likely to disrupt gene function. To minimize false positives, deletions were limited to those found in large publicly available control datasets (1000 Genomes, GnomAD, and Centers for Common Disease Genomics) and where replication of deletions occurred across two cohorts within the USMRS suicides. Deletions meeting these filters were manually validated. Eleven deletions had at least 2-fold increase in frequency in suicide deaths vs. controls (range 2.28 to 4.46). Implicated genes were associated with mental health conditions ( MPST, IL4R, CDH13 ), epilepsy ( CLCA4 ), intellectual disability ( ZNF44 ), neuronal function ( OSBPL2 ), metabolic function ( FBOX36 ), lipid metabolism ( TM9SF3 ), immune functions ( PIPOX, IL4R ), and Alzheimer’s disease ( ZHX3, LMNTD1 ). Pending replication, these results may help prioritize biological pathways for future functional studies with the goal of increasing our understanding of risk mechanisms leading to suicide mortality.